Why Do It the Hard Way? The Case for an Expressive Description Logic for SNOMED
Open Access
- 1 November 2008
- journal article
- research article
- Published by Oxford University Press (OUP) in Journal of the American Medical Informatics Association
- Vol. 15 (6) , 744-751
- https://doi.org/10.1197/jamia.m2797
Abstract
There has been major progress both in description logics and ontology design since SNOMED was originally developed. The emergence of the standard Web Ontology language in its latest revision, OWL 1.1 is leading to a rapid proliferation of tools. Combined with the increase in computing power in the past two decades, these developments mean that many of the restrictions that limited SNOMED's original formulation no longer need apply. We argue that many of the difficulties identified in SNOMED could be more easily dealt with using a more expressive language than that in which SNOMED was originally, and still is, formulated. The use of a more expressive language would bring major benefits including a uniform structure for context and negation. The result would be easier to use and would simplify developing software and formulating queries.Keywords
This publication has 9 references indexed in Scilit:
- Unambiguous data modeling to ensure higher accuracy term binding to clinical terminologies.2007
- Investigating subsumption in SNOMED CT: An exploration into large description logic-based biomedical terminologiesArtificial Intelligence in Medicine, 2007
- What's in a code? Towards a formal account of the relation of ontologies and coding systems.2007
- SNOMED CT's problem list: ontologists' and logicians' therapy suggestions.2007
- Granularity, scale and collectivity: When size does and does not matterJournal of Biomedical Informatics, 2006
- The Semantics of Procedures and Diseases in SNOMED® CTMethods of Information in Medicine, 2006
- Reliability of SNOMED-CT coding by three physicians using two terminology browsers.2006
- The GRAIL concept modelling language for medical terminologyArtificial Intelligence in Medicine, 1997